AWS Machine Learning Course
Master AWS Machine Learning for real-world churn prediction. Learn SageMaker pipelines, data processing, model training, MLOps, and secure deployment to build scalable, production-ready ML solutions that drive retention and revenue in tech businesses.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The AWS Machine Learning Course shows you how to build a complete churn prediction solution with SageMaker, from selecting datasets and defining labels to feature engineering, data processing, and S3 organization. You learn to train and tune XGBoost models, automate pipelines, monitor drift, manage security and governance, and deploy scalable, reliable endpoints that drive measurable retention and revenue impact.
Elevify advantages
Develop skills
- Design churn ML pipelines on AWS: from raw S3 data to live SageMaker endpoints.
- Engineer high-impact churn features fast with SageMaker Processing and Feature Store.
- Configure, train, and tune XGBoost churn models using SageMaker training jobs.
- Automate MLOps: pipelines, model registry, monitoring, and retraining on AWS.
- Secure and govern ML workloads with IAM, encryption, drift checks, and audit trails.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...

Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.

Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.

Giulio CarloAluno de Engenharia de Prompt
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